Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,691)
Clear ✕HIO-SDF: Hierarchical Incremental Online Signed Distance Fields
Vasileios Vasilopoulos, Suveer Garg, Jinwook Huh +2 more
2023
LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents
Yash Shukla, Wenchang Gao, Vasanth Sarathy +3 more
2023
An Unbiased Look at Datasets for Visuo-Motor Pre-Training
Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain +1 more
2023
A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning
Yash Shukla, Bharat Kesari, Shivam Goel +2 more
2023
ELDEN: Exploration via Local Dependencies
Jiaheng Hu, Zizhao Wang, Peter Stone +1 more
2023
Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach
Hwajong Lee, Chan Kim, Seong-Woo Kim
2023
Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
Noémie Jaquier, Leonel Rozo, Tamim Asfour
2023
ASV Station Keeping under Wind Disturbances using Neural Network Simulation Error Minimization Model Predictive Control
Jalil Chavez-Galaviz, Jianwen Li, Ajinkya Chaudhary +1 more
2023
Imitation Learning from Observation with Automatic Discount Scheduling
Yuyang Liu, Weijun Dong, Yingdong Hu +4 more
2023
Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization
Deepak Raina, SH Chandrashekhara, Richard Voyles +2 more
2023
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
Fan Yang, Wenxuan Zhou, Zuxin Liu +2 more
2023
Zero-Shot Transfer in Imitation Learning
Alvaro Cauderan, Gauthier Boeshertz, Florian Schwarb +1 more
2023
Learning Interactive Real-World Simulators
Sherry Yang, Yilun Du, Kamyar Ghasemipour +4 more
2023
Distributional Soft Actor-Critic with Three Refinements
Jingliang Duan, Wenxuan Wang, Liming Xiao +6 more
2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments
Xiong-Hui Chen, Junyin Ye, Hang Zhao +9 more
2023
Reinforcement learning for freeform robot design
Muhan Li, David Matthews, Sam Kriegman
2023
Learning Generalizable Agents via Saliency-Guided Features Decorrelation
Sili Huang, Yanchao Sun, Jifeng Hu +5 more
2023
Safe Deep Policy Adaptation
Wenli Xiao, Tairan He, John Dolan +1 more
2023
Deep Model Predictive Optimization
Jacob Sacks, Rwik Rana, Kevin Huang +3 more
2023
DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El-Hariry, Antoine Richard, Vivek Muralidharan +2 more
2023
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison
Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt +2 more
2023
ClusVPR: Efficient Visual Place Recognition with Clustering-based Weighted Transformer
Yifan Xu, Pourya Shamsolmoali, Jie Yang
2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi +4 more
2023
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks
Victor Vadakechirayath George
2023